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Qwen3 Finance Model by Dev9124

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Qwen3 Finance Model is an open-source language model by Dev9124. Features: 4b LLM, VRAM: 8.1GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.2.

Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-4b   Conversational Dataset:josephgflowers/finance...   En   Endpoints compatible   Instruct   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/Dev9124/qwen3-finance-model 

Qwen3 Finance Model Benchmarks

LLME Score: 0.19505
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 Finance Model (Dev9124/qwen3-finance-model)
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Qwen3 Finance Model Parameters and Internals

LLM NameQwen3 Finance Model
Repository 🤗https://huggingface.co/Dev9124/qwen3-finance-model 
Base Model(s)  unsloth/qwen3-4b-unsloth-bnb-4bit   Qwen/Qwen3-4B   unsloth/qwen3-4b-unsloth-bnb-4bit   Qwen/Qwen3-4B
Model Size4b
Required VRAM8.1 GB
Updated2026-05-29
MaintainerDev9124
Model Typeqwen3
Instruction-BasedYes
Model Files  5.0 GB: 1-of-2   3.1 GB: 2-of-2
Supported Languagesen
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|vision_pad|>
Vocabulary Size151936
Torch Data Typefloat16
Errorsreplace

Best Alternatives to Qwen3 Finance Model

Best Alternatives
Context / RAM
Downloads
Likes
FastContext 1.0 4B RL256K / 8.1 GB353359
Qwen3 4B Instruct 2507256K / 8.1 GB4833125869
Qwen3 4B Instruct 2507 FP8256K / 5.2 GB84028179
CyberSecQwen 4B256K / 8 GB121613
Agents K1256K / 8.8 GB60120
Qwen3 4B Elderly Sft Merged256K / 8.1 GB3780
Qwen3 4B DASD 32K256K / 8 GB4460
Jan Code 4B256K / 8.9 GB41778
Qwen3 4B Instruct 2507256K / 8.1 GB4128426
Jan V3.5 4B256K / 8.9 GB45716
Note: green Score (e.g. "73.2") means that the model is better than Dev9124/qwen3-finance-model.

Rank the Qwen3 Finance Model Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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